ColorHandPose3D is a deep learning system that predicts 3D hand pose from single color images using a convolutional neural network. The network was developed at the University of Freiburg and published at ICCV. It includes training and evaluation scripts with preprocessing pipelines for standard hand pose datasets (RHD and STB). The implementation uses TensorFlow and ships with pre-trained model weights and example data for forward-pass inference.